Evaluating Remote Sensing Resolutions and Machine Learning Methods for Biomass Yield Prediction in Northern Great Plains Pastures

Evaluating Remote Sensing Resolutions and Machine Learning Methods for Biomass Yield Prediction in Northern Great Plains Pastures

Predicting forage biomass yield is critical in managing livestock since it impacts livestock stocking rates, hay procurement, and livestock marketing strategies. Only a few biomass yield prediction studies on pasture and rangeland exist despite the need. Therefore, this study focused on developing a...

Full description

Saved in:
Bibliographic Details
Main Authors: Srinivasagan N. Subhashree, C. Igathinathane, John Hendrickson, David Archer, Mark Liebig, Jonathan Halvorson, Scott Kronberg, David Toledo, Kevin Sedivec
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Agriculture
Subjects:
biomass
climate
forage
machine learning
modeling
remote sensing
Online Access:https://www.mdpi.com/2077-0472/15/5/505
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2077-0472/15/5/505

Similar Items